Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 494

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Coronary Atherosclerotic Precursors of Acute Coronary Syndromes

Open access
Chang, Hyuk-Jae, Lin, Fay Y., Lee, Sang-Eun, Andreini, Daniele, Bax, Jeroen, Cademartiri, Filippo, Chinnaiyan, Kavitha, Chow, Benjamin J.W., Conte, Edoardo, Cury, Ricardo C., Feuchtner, Gudrun, Hadamitzky, Martin, Kim, Yong-Jin, Leipsic, Jonathon, Maffei, Erica, Marques, Hugo, Plank, Fabian, Pontone, Gianluca, Raff, Gilbert L., van Rosendael, Alexander R., Villines, Todd C., Weirich, Harald G., Al’Aref, Subhi J., Baskaran, Lohendran, Cho, Iksung, Danad, Ibrahim, Han, Donghee, Heo, Ran, Lee, Ji Hyun, Rivzi, Asim, Stuijfzand, Wijnand J., Gransar, Heidi, Lu, Yao, Sung, Ji Min, Park, Hyung-Bok, Berman, Daniel S., Budoff, Matthew J., Samady, Habib, Shaw, Leslee J., Stone, Peter H., Virmani, Renu, Narula, Jagat, Min, James K.·2018·Journal of the American College of Cardiology
DOI 10.1016/j.jacc.2018.02.079
Open this paper in CoChat — free account

Abstract

Background The association of atherosclerotic features with first acute coronary syndromes (ACS) has not accounted for plaque burden. Objectives To identify atherosclerotic features associated with precursors of ACS. Methods We performed a nested case:control study within a cohort of 25,251 patients undergoing coronary computed tomographic angiography (CCTA) with follow-up over 3.4±2.1 years. ACS patients and non-events with no prior coronary artery disease (CAD) were propensity matched 1:1 for risk factors and CCTA-evaluated obstructive (≥50%) CAD. Separate core labs performed blinded adjudication of ACS and culprit lesions and quantification of baseline CCTA for % diameter stenosis (%DS), % cross-sectional plaque burden (PB), plaque volumes (PV) by composition (calcified, fibrous, fibro-fatty, and necrotic core), and presence of high-risk plaques (HRP). Results We identified 234 ACS and control pairs (62 years, 63% male). Over 65% of ACS patients had non-obstructive CAD at baseline, and 52% had HRP. %DS, cross-sectional PB, fibro-fatty and necrotic core volume, and HRP increased the adjusted hazard ratio (HR) of ACS [1.010 per %DS, 95% confidence interval (CI) 1.005–1.015; 1.008 per % cross-sectional PB, 95% CI 1.003–1.013; 1.002 per mm3 fibro-fatty plaque, 95% CI 1.000–1.003; 1.593 per mm3 necrotic core, 95%CI 1.219–2.082; all p <0.05]. Of the 129 culprit lesion precursors identified by CCTA, three-fourths exhibited <50% stenosis and 31.0% exhibited HRP. Conclusion Although ACS increases with %DS, most precursors of ACS cases and culprit lesions are non-obstructive. Plaque evaluation, including HRP, PB, and plaque composition, identifies high risk patients above and beyond stenosis severity and aggregate plaque burden.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jacc.2018.02.079

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 45 references

Cited by

See all 494

Metadata

Authors
Chang, H.-J., Lin, F. Y., Lee, S.-E., Andreini, D., Bax, J., Cademartiri, F., Chinnaiyan, K., Chow, B. J. W., Conte, E., Cury, R. C., Feuchtner, G., Hadamitzky, M., Kim, Y.-J., Leipsic, J., Maffei, E., Marques, H., Plank, F., Pontone, G., Raff, G. L., van Rosendael, A. R., Villines, T. C., Weirich, H. G., Al’Aref, S. J., Baskaran, L., Cho, I., Danad, I., Han, D., Heo, R., Lee, J. H., Rivzi, A., Stuijfzand, W. J., Gransar, H., Lu, Y., Sung, J. M., Park, H.-B., Berman, D. S., Budoff, M. J., Samady, H., Shaw, L. J., Stone, P. H., Virmani, R., Narula, J., & Min, J. K.
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2018-06
Volume
71
Issue
22
Pages
2511-2522
ISSN
0735-1097 (ISSN-L)
DOI
10.1016/j.jacc.2018.02.079
OpenAlex
W2805117454
Cited by
494
References
45
FWCI
30.71
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Coronary Atherosclerotic Precursors of Acute Coronary Syndromes. https://app.cochat.ai/papers/10.1016/j.jacc.2018.02.079
The paper
Chang, H.-J., Lin, F. Y., Lee, S.-E., Andreini, D., Bax, J., Cademartiri, F., Chinnaiyan, K., Chow, B. J. W., Conte, E., Cury, R. C., Feuchtner, G., Hadamitzky, M., Kim, Y.-J., Leipsic, J., Maffei, E., Marques, H., Plank, F., Pontone, G., Raff, G. L., . . . Min, J. K. (2018). Coronary Atherosclerotic Precursors of Acute Coronary Syndromes. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2018.02.079

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.